ᥛᥫᥒᥰ ᥑᥥᥱ

ᥝᥤᥱ ᥑᥤᥱ ᥚᥤᥱ ᥖᥤᥱ ᥕᥣᥱ tddwiki https://tdd.wikipedia.org/wiki/%E1%A5%9E%E1%A5%A8%E1%A5%9D%E1%A5%B4_%E1%A5%98%E1%A5%A3%E1%A5%B2_%E1%A5%96%E1%A5%A5%E1%A5%B0 MediaWiki 1.47.0-wmf.9 first-letter ᥛᥤᥱ ᥖᥤᥱ ᥕᥣᥱ ᥑᥪᥐ ᥖᥩᥢᥰ ᥟᥧᥙᥱ ᥐᥧᥛ ᥚᥧᥱ ᥕᥧᥒᥱ ᥖᥪᥰ ᥟᥧᥙᥱ ᥐᥧᥛ ᥚᥧᥱ ᥕᥧᥒᥱ ᥖᥪᥰ ᥝᥤᥱ ᥑᥤᥱ ᥚᥤᥱ ᥖᥤᥱ ᥕᥣᥱ ᥟᥧᥙᥱ ᥐᥧᥛ ᥝᥤᥱ ᥑᥤᥱ ᥚᥤᥱ ᥖᥤᥱ ᥕᥣᥱ ᥜᥣᥭᥱ ᥟᥧᥙᥱ ᥐᥧᥛ ᥜᥣᥭᥱ ᥛᥤᥱ ᥖᥤᥱ ᥕᥣᥱ ᥝᥤᥱ ᥑᥤᥱ ᥟᥧᥙᥱ ᥐᥧᥛ ᥛᥤᥱ ᥖᥤᥱ ᥕᥣᥱ ᥝᥤᥱ ᥑᥤᥱ ᥗᥦᥛᥰ ᥙᥣ ᥘᥥᥐᥳ ᥟᥧᥙᥱ ᥐᥧᥛ ᥗᥦᥛᥰ ᥙᥣ ᥘᥥᥐᥳ ᥘᥩᥒ ᥓᥩᥭ ᥗᥦᥛ ᥟᥧᥙᥱ ᥐᥧᥛ ᥘᥩᥒ ᥓᥩᥭ ᥗᥦᥛᥴ ᥙᥫᥒ ᥗᥣᥢ ᥟᥧᥙᥱ ᥐᥧᥛ ᥙᥫᥒ ᥗᥣᥢ TimedText TimedText talk ᥛᥨᥝᥱ ᥓᥧᥰ ᥟᥧᥙᥱ ᥐᥧᥛᥴ ᥛᥩᥱ ᥓᥧᥰ Event Event talk ᥛᥫᥒᥰ ᥑᥥᥱ 0 876 7706 5200 2026-07-03T17:26:58Z HyBoxwood 1188 [[w:zh:Template_talk:中华人民共和国国徽#編輯請求_2026-04-17_将svg替换为File:中華人民共和國國徽.svg]] 7706 wikitext text/x-wiki {{Infobox country | ᥓᥪ ᥛᥫᥒᥰ ᥟᥢ ᥖᥥᥛ ᥗᥨᥢᥲ = ᥛᥫᥒᥰ ᥑᥥᥱ | ᥓᥪ ᥖᥥᥳ ᥖᥥᥳ = {{Unbulleted list|{{Native name|zh-hans|中华人民共和国|italics=off}}|{{Small|{{Transl|zh|Zhōnghuá Rénmín Gònghéguó}} ([[Pinyin]])}}}} | image_flag = Flag of the People's Republic of China.svg | image_coat = 中華人民共和國國徽.svg | ᥑᥨᥝᥲ ᥑᥣᥢᥴ ᥙᥣᥐᥱ ᥓᥪᥒ ᥛᥫᥒᥰ = | ᥑᥣᥛᥰ ᥓᥪᥒ ᥛᥫᥒᥰ ="March of the Volunteers" | image_map = China in its region (claimed hatched).svg |map_caption = {{Map caption |location_color=green |region=[[ASEAN]] |region_color=dark grey |legend= Location Thailand ASEAN.svg}} |image_map2 = | ᥓᥥ ᥘᥨᥒᥴ = [[ᥙᥫᥳ ᥓᥤᥢᥳ]] | ᥝᥥᥒᥰ ᥕᥬᥱ ᥔᥥᥴ ᥙᥫᥢ = [[ᥡᥒᥱ ᥞᥣᥭᥰ]](metropolitan area and urban area)<ref name=Demographia2013>{{Cite book|author1=Demographia|title=Demographia World Urban Areas|date=March 2013|edition=9th|url=http://www.demographia.com/db-worldua.pdf| archive-url=https://web.archive.org/web/20130501024602/http://demographia.com/db-worldua.pdf |archive-date=1 May 2013}}</ref><ref name="oecd">{{Cite book |url=http://www.keepeek.com/Digital-Asset-Management/oecd/urban-rural-and-regional-development/oecd-urban-policy-reviews-china-2015_9789264230040-en#page39 |doi=10.1787/9789264230040-en |title=OECD Urban Policy Reviews: China 2015 |publisher=[[Organisation for Economic Co-operation and Development|OECD]] |page=37 |date=18 Apr 2015 |isbn=9789264230033 |series=OECD Urban Policy Reviews}}</ref> [[Chongqing]] (city proper)<ref name="renamed_from_2015_on_20160214005959">{{Cite web |url = http://cq.cqnews.net/html/2016-01/28/content_36292655.htm |script-title = zh:2015年重庆常住人口3016.55万人继续保持增长态势 |publisher = Chongqing News |language = Chinese |date = 28 January 2016 |accessdate = 2016-02-13 |url-status = live |archiveurl = https://web.archive.org/web/20160129083111/http://cq.cqnews.net/html/2016-01/28/content_36292655.htm |archivedate = 29 January 2016 |df = dmy-all }}</ref> | ᥓᥥ ᥛᥫᥒᥰ ᥕᥬᥱ ᥔᥥᥴ ᥙᥫᥢ = | ᥟᥥᥱ ᥘᥤᥳ ᥕᥣᥱ = 9,640,821 km² (3,704,427 sq mi) | ᥓᥢᥳ ᥟᥥᥱ ᥘᥤᥳ ᥕᥣᥱ = 3/4 | ᥞᥨᥝᥴ ᥙᥣᥐᥱ ᥟᥥᥱ ᥘᥤᥳ ᥕᥣᥱ = 2.8 | ᥖᥤ ᥔᥧᥒᥴ ᥔᥧᥖᥴ = | ᥛᥥ ᥘᥛᥳ ᥕᥣᥝᥰ ᥔᥧᥖᥴ = ᥘᥛᥳ ᥕᥣᥢᥱ ᥓᥤᥱ | ᥘᥩᥒᥴ ᥕᥬᥱ ᥔᥧᥖᥴ = | ᥚᥣᥒᥱ ᥙᥣᥒᥱ ᥘᥣᥭᥱ = | ᥘᥐᥴ ᥓᥥᥒᥱ ᥑᥣᥝᥰ ᥕᥣᥛᥰ ᥟᥩᥒᥲ ᥖᥤ = | ᥚᥣᥱ ᥔᥣᥱ ᥑᥣᥛᥰ ᥖᥪᥰ ᥘᥬᥰ ᥘᥧᥛᥰ = | ᥞᥨᥝᥴ ᥘᥙ ᥐᥨᥢᥰ = | ᥓᥢᥳ ᥞᥨᥝᥴ ᥘᥙ ᥐᥨᥢᥰ = 1 | ᥘᥩᥒ ᥔᥖ ᥞᥨᥝᥴ ᥘᥙ ᥐᥨᥢᥰ = 140/km² (363/sq mi) | ᥓᥢᥳ ᥔᥖ ᥞᥨᥝᥴ ᥘᥙ ᥐᥨᥢᥰ = 53 | ethnic_groups = Han (၉၁.၉.9%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥓᥩᥢᥰ |ᥓᥩᥢᥰ]] (၁.၃၀%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥛᥣᥢᥱ ᥠᥨᥰ |ᥛᥣᥢᥱ ᥠᥨᥰ]] (၀.၈၆%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥝᥤᥱ ᥐᥣᥱ |ᥝᥤᥱ ᥐᥣᥱ]] (၀.၇၉%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥙᥣᥢᥰ ᥔᥥᥰ |ᥙᥣᥢᥰ ᥔᥥᥰ]] (၀.၇၉%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥛᥦᥝᥱ ᥓᥪᥰ |ᥛᥦᥝᥱ ᥓᥪᥰ]] (၀.၇၂%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥕᥤ |ᥕᥤᥴ]] (၀.၆၅%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥗᥧᥴ ᥓᥣᥰ |ᥗᥧᥴ ᥓᥣᥰ]] (၀.၆၂%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥛᥧᥢᥱ ᥐᥨᥝᥰ |ᥛᥧᥢᥱ ᥐᥨᥝᥰ]] (၀.၄၇%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥖᥤ ᥝᥦᥖᥳ |ᥖᥤ ᥝᥦᥖᥳ]] (၀.၄၄%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥝᥧᥱ ᥕᥤᥰ |ᥝᥧᥱ ᥕᥤᥰ]] (၀.၄၄%), [[ᥐᥨᥢᥰ ᥑᥫᥰ ᥐᥣᥝ ᥘᥤ |ᥐᥣᥝ ᥘᥤᥴ]] (၀.၁၅%), | ᥚᥣᥱ ᥔᥣᥱ ᥐᥫᥰ ᥕᥛᥴ = | time zone = +8 | ᥙᥩᥭᥰ = | ᥛᥥᥝᥰ ᥛᥫᥒᥰ = ᥙᥫᥒ ᥙᥣᥭᥰ ᥛᥫᥒᥰ ᥙᥣᥱ ᥖᥤᥱ ᥘᥥᥝ၊ ᥛᥫᥒᥰ ᥓᥩᥛ ᥓᥪᥒ ᥔᥨᥝᥱ ᥡᥥᥱ ᥘᥤᥖᥳ | ᥓᥢᥳ ᥗᥣᥢ _ᥚᥧᥱ ᥟᥩᥢ ᥞᥨᥝᥴ (1) = ᥓᥩᥛ ᥙᥩᥒ ᥓᥪᥒ | ᥓᥪ _ᥚᥧᥱ ᥟᥩᥢ ᥞᥨᥝᥴ (1) = ᥡᥤᥱ ᥓᥤᥢᥰ ᥚᥤᥢᥳ | ᥓᥢᥳ ᥗᥣᥢ _ᥚᥧᥱ ᥟᥩᥢ ᥞᥨᥝᥴ (2) = ᥓᥩᥛ ᥚᥩᥒᥰ ᥘᥨᥒᥴ | ᥓᥪ _ᥚᥧᥱ ᥟᥩᥢ ᥞᥨᥝᥴ (2) = Li Keqiang | ᥓᥢᥳ ᥗᥣᥢ _ᥚᥧᥱ ᥟᥩᥢ ᥞᥨᥝᥴ (3) = | ᥓᥪ _ᥚᥧᥱ ᥟᥩᥢ ᥞᥨᥝᥴ (3) = | ᥚᥧᥱ ᥐᥫᥰ ᥐᥧᥛ ᥓᥪᥒ ᥛᥫᥒᥰ = | ᥓᥪ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (1) = People's Republic declared | ᥙᥤ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (1)= [[ᥟᥩᥐᥱ ᥗᥨᥝᥱ ᥙᥣᥱ 1]] [[1949]] | ᥓᥪ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (2) = | ᥙᥤ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (2) = | ᥓᥪ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (3) = | ᥙᥤ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (3) = | ᥓᥪ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (4) = | ᥙᥤ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (4) = | ᥓᥪ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (5) = | ᥙᥤ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (5) = | ᥓᥪ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (6) = | ᥙᥤ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (6) = | ᥓᥪ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (7) = | ᥙᥤ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (7) = | ᥓᥪ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (8) = | ᥙᥤ _ᥘᥩᥒ ᥙᥧᥐᥱ ᥖᥒᥲ (8) = | GDP_PPP = {{Increase}} $29.471 trillion<ref name="IMFWEOCN">{{Cite web |url=https://www.imf.org/external/pubs/ft/weo/2019/02/weodata/weorept.aspx?pr.x=84&pr.y=8&sy=2020&ey=2024&scsm=1&ssd=1&sort=country&ds=.&br=1&c=924&s=NGDP%2CNGDPD%2CPPPGDP%2CNGDPPC%2CNGDPDPC%2CPPPPC&grp=0&a= |title=World Economic Outlook Database, October 2019 |publisher=International Monetary Fund |website=IMF.org |access-date=30 March 2020}}</ref> | GDP_PPP_year = 2020 | GDP_PPP_rank = 1st | GDP_PPP_per_capita = {{Increase}} $20,984<ref name="IMFWEOCN"/> | GDP_PPP_per_capita_rank = 67th | GDP_nominal = {{Increase}} $15.269 trillion<ref name="IMFWEOCN"/>{{Refn|The accuracy of China's official GDP statistics has been questioned by a wide variety of academics and institutions, and it believed to be lower than stated. See [[Economy of China#Issues with overclaiming]].}} | GDP_nominal_year = 2020 | GDP_nominal_rank = 2nd | GDP_nominal_per_capita = {{Increase}} $10,872<ref name="IMFWEOCN"/> | GDP_nominal_per_capita_rank = 67th | Gini = 46.7  | Gini_year = 2018 | Gini_change = increase  | Gini_ref = <ref name="GINI">{{Cite web |url=https://openknowledge.worldbank.org/bitstream/handle/10986/33063/China-Economic-Update-December-2019-Cyclical-Risks-and-Structural-Imperatives.pdf |title=China Economic Update, December 2019: Cyclical Risks and Structural Imperatives |page=21 |publisher=World Bank |website=openknowledge.worldbank.org |access-date=3 January 2020 |quote=The Gini coefficient, a measure of overall income inequality, declined to 0.462 in 2015, and has since risen to 0.467 in 2018 (Figure 27). Higher income inequality is partly driven by unequal regional income distribution. The eastern coastal regions have been the driver of China's rapid growth, due to its geographic location and the early introduction of reforms. As a result, the eastern coastal region is now home to 38 percent of the population, and its per capita GDP was 77 percent higher than that of the central, western, and northeastern regions in 2018. This gap widened further in the first three quarters of 2019. This is in part due to a disproportionate slowdown in interior provinces, which are more dependent on commodities and heavy industry. The slowdown has been negatively affected by structural shifts, especially necessary cuts in overcapacity (Figure 28).}}</ref> | Gini_rank = | HDI = 0.758  | HDI_year = 2018 | HDI_change = increase  | HDI_ref = <ref name="UNHDR">{{Cite web|url=http://hdr.undp.org/en/content/2019-human-development-index-ranking|title=Human Development Report 2019|language=en|publisher=[[United Nations Development Programme]]|date=10 December 2019|accessdate=10 December 2019|format=PDF|archivedate=30 April 2020|archiveurl=https://web.archive.org/web/20200430080741/http://hdr.undp.org/en/content/2019-human-development-index-ranking}}</ref> | HDI_ᥓᥢᥳ = 85th | ᥒᥪᥢᥰ = [[Renminbi]] (yuan; ¥){{Efn|The [[Hong Kong Dollar]] is used in [[Hong Kong]] and [[Macau]] while the [[Macanese pataca]] is used in Macau only.}} | currency_code = CNY | time_zone = [[China Standard Time]] | utc_offset = [[UTC+08:00|+8]] | date_format = {{Vunblist |yyyy-mm-dd |''or'' yyyy{{Lang|zh|年}}m{{Lang|zh|月}}d{{Lang|zh|日}} |([[Common Era|CE]]; [[Chinese calendar|CE-1949]])}} | drives_on = ᥛᥪᥰ ᥑᥣᥴ {{Efn|Motor vehicles and metros drive on the right in mainland China. [[Hong Kong]] and [[Macau]] use left-hand traffic except several parts of metro lines. The majority of the country's trains drive on the left.}} | calling_code = [[+86|+86]] | cctld = {{Hlist|[[.cn|.cn]]|[[.中国|.中国]]|[[.中國|.中國]]}} }} ==ᥛᥫᥒᥰ ᥑᥥᥱ == ᥓᥪᥒ ᥛᥫᥒᥰ ᥓᥩᥛ ᥓᥪᥒ ᥐᥨᥢᥰ ᥛᥫᥒᥰ ᥙᥣᥢᥱ ᥙᥩᥒ ᥛᥫᥒᥰ ᥑᥥᥱ ᥘᥭᥳ ᥐᥣ ᥖᥤ [[ᥟᥥᥰ ᥡᥫᥝᥰ ᥝᥢᥰ ᥟᥩᥐᥱ]] ᥘᥢᥳ ᥛᥢᥰ ᥙᥥᥢ ᥓᥪᥒ ᥛᥫᥒᥰ ᥟᥢ ᥕᥬᥱ ᥖᥤ ᥔᥧᥖᥱ ᥔᥥᥴ၊ ᥘᥬᥰ ᥘᥨᥐ ᥙᥧᥢᥳ ᥖᥤ ᥙᥣᥱ ᥘᥭᥳ ᥓᥛᥰ ᥛᥢᥰ ᥙᥥᥢ ᥓᥪᥒ ᥛᥫᥒᥰ ᥟᥢ ᥕᥬᥱ ᥔᥥᥴ ᥙᥫᥢ ᥖᥤᥳ ᥔᥣᥛᥴ ᥟᥛᥱ ᥘᥢᥴ ᥗᥤᥳ ᥔᥤᥱ။ ᥛᥫᥒᥰ ᥑᥥᥱ ᥘᥭᥳ ᥞᥨᥝᥴ ᥘᥙᥳ ᥐᥨᥢᥰ ᥛᥢᥰ ᥛᥤᥰ 1300 ᥘᥣᥢᥳ ᥔᥥᥴ ᥙᥥᥢ ᥓᥪᥒ ᥛᥫᥒᥰ ᥟᥢ ᥞᥨᥝᥴ ᥘᥙᥳ ᥐᥨᥢᥰ ᥘᥛᥴ ᥔᥥᥴ ᥙᥫᥢ ᥐᥩᥲ ᥓᥬ ᥕᥝᥳ။ ᥙᥥᥢ ᥛᥫᥒᥰ ᥟᥢ ᥙᥣᥱ ᥖᥤᥱ ᥑᥩᥛᥱ ᥛᥣᥱ ᥢᥤᥖᥳ ᥚᥩᥒᥰ ᥒᥛᥰ။ ᥛᥤᥰ ᥟᥪᥒᥱ ᥖᥒᥰ ᥔᥥᥒᥲ (22)ᥟᥢ၊ ᥘᥦᥢ ᥛᥤᥰ ᥔᥧᥢᥱ ᥐᥣᥢᥰ ᥙᥩᥒ ᥞᥣᥒᥰ ᥑᥨᥝᥴ (5)ᥟᥢ၊ ᥝᥥᥒᥰ ᥒᥝᥲ ᥓᥪᥒ ᥟᥢ ᥙᥣᥢᥱ ᥙᥩᥒ ᥘᥩᥒ ᥘᥫᥛ ᥘᥭᥲ (4)ᥟᥢ (ᥙᥫᥭᥲ ᥓᥤᥢᥰ၊ ᥗᥦᥢᥰ ᥓᥤᥒᥰ၊ ᥡᥣᥒᥱ ᥑᥣᥭᥰ၊ ᥠᥨᥒᥱ ᥠᥤᥒᥳ)ᥘᥦᥲ ᥘᥦᥢ ᥐᥣᥢᥰ ᥙᥩᥒ ᥑᥪᥐᥳ ᥑᥣᥭᥰ (2)ᥟᥢ (ᥞᥩᥒ ᥐᥩᥒ ᥘᥦᥲ ᥛᥣ ᥐᥣᥝᥰ)။ ᥝᥥᥒᥰ ᥒᥝᥲ ᥓᥪᥒ ᥛᥫᥒᥰ ᥑᥥᥱ ᥙᥥᥢ ᥝᥥᥒᥰ ᥙᥫᥭᥲ ᥓᥤᥢ။ ᥓᥥ ᥟᥪᥒᥱ ᥓᥪᥒ ᥛᥫᥒᥰ ᥓᥩᥛ ᥓᥪᥒ ᥐᥨᥢᥰ ᥛᥫᥒᥰ ᥙᥣᥢᥱ ᥙᥩᥒ ᥛᥫᥒᥰ ᥑᥥᥱ ᥘᥭᥳ ᥓᥪᥒ ᥙᥩᥰ ᥞᥨᥛ ᥙᥣᥰ ᥖᥒᥰ [[ᥗᥭᥱ ᥝᥢᥱ]] ᥘᥭᥴ ᥖᥥᥴ ᥛᥤᥰ ᥓᥥ ᥟᥪᥒᥱ (23)ᥖᥩᥢ။ ᥗᥭᥱ ᥝᥢᥱ ᥖᥥᥳ ᥕᥧᥱ ᥖᥤ ᥓᥪᥒ ᥛᥫᥒᥰ ᥓᥩᥛ ᥓᥪᥒ ᥐᥨᥢᥰ ᥛᥫᥒᥰ ᥙᥣᥢᥱ ᥙᥩᥒ ᥛᥫᥒᥰ ᥑᥥᥱ ᥔᥥᥴ ᥟᥧᥙᥱ ᥙᥫᥒᥱ ᥚᥩᥒᥰ ᥒᥛᥰ။ ᥐᥥᥝᥱ ᥐᥙᥱ ᥘᥨᥭᥲ ᥐᥣᥙ ᥚᥩᥒᥰ ᥒᥛᥰ ᥟᥧᥙᥱ ᥙᥫᥒᥱ ᥗᥭᥱ ᥝᥢᥱ ᥔᥥᥴ ᥘᥬᥰ ᥐᥥ ᥓᥪᥒ ᥛᥫᥒᥰ ᥓᥩᥛ ᥓᥪᥒ ᥐᥨᥢᥰ ᥛᥫᥒᥰ ᥙᥣᥢᥱ ᥙᥩᥒ ᥛᥫᥒᥰ ᥑᥥᥱ ᥘᥦᥲ ᥖᥒᥰ ᥗᥭᥱ ᥝᥢᥱ ᥖᥪᥐᥳ ᥛᥤᥰ ᥘᥩᥒ ᥗᥥᥒᥴ ᥐᥢ ᥕᥧᥱ။ ᥘᥩᥐ ᥔᥥᥴ (23) ᥓᥥ ᥟᥪᥒᥱ ᥕᥝᥳ ᥘᥢᥳ ᥕᥒᥰ ᥛᥤᥰ ᥓᥥ ᥟᥪᥒᥱ ᥙᥣᥢᥱ ᥙᥩᥒ ᥞᥣᥒᥰ ᥑᥨᥝᥴ (5)ᥛᥫᥒᥰ၊ ᥝᥥᥒᥰ ᥒᥝᥲ ᥓᥪᥒ ᥟᥢ ᥙᥣᥢᥱ ᥙᥩᥒ ᥘᥩᥒ ᥘᥫᥛ ᥘᥭᥲ (4)ᥟᥢ၊ ᥘᥦᥢ ᥘᥤᥢ ᥘᥭᥲ ᥔᥧᥢᥱ ᥑᥪᥐᥳ ᥑᥣᥭᥰ ᥖᥣᥱ ᥐᥣᥢᥰ ᥙᥩᥒ (2)ᥟᥢ။ ᥓᥥ ᥟᥪᥒᥱ (22)ᥟᥢ၊ ᥓᥥ ᥟᥪᥒᥱ ᥙᥣᥢᥱ ᥙᥩᥒ ᥞᥣᥒᥰ ᥑᥨᥝᥴ (5)ᥛᥫᥒᥰ၊ ᥝᥥᥒᥰ ᥒᥝᥲ ᥓᥪᥒ ᥟᥢ ᥙᥣᥢᥱ ᥙᥩᥒ ᥘᥩᥒ ᥘᥫᥛ ᥘᥭᥲ (4) ᥟᥢ ᥑᥝᥴ ᥓᥫᥰ ᥘᥭᥳ ᥛᥣᥰ ᥞᥨᥛ ᥐᥢ ᥔᥥᥴ ᥞᥩᥒᥳ ᥝᥣ"ᥛᥫᥒᥰ ᥑᥥᥱ ᥘᥨᥒᥴ"(Mainland China) ᥘᥭᥴ ᥕᥝᥳ။ ==ᥓᥥ ᥟᥪᥒᥱ (24) ᥟᥢ == *ᥓᥥ ᥟᥪᥒᥱ ᥟᥣᥢᥰ ᥞᥨᥭᥰ - Anhui (安徽) *ᥓᥥ ᥟᥪᥒᥱ ᥜᥧᥱ ᥓᥦᥢᥱ - Fujian (福建) *ᥓᥥ ᥟᥪᥒᥱ ᥐᥣᥢ ᥔᥧᥲ - Gansu (甘肅) *ᥓᥥ ᥟᥪᥒᥱ ᥐᥩᥢᥰ ᥖᥨᥒ - Guangdong (廣東) *ᥓᥥ ᥟᥪᥒᥱ ᥐᥨᥭᥲ ᥓᥫᥝ - Guizhou (貴州) *ᥓᥥ ᥟᥪᥒᥱ ᥞᥣᥭᥱ ᥢᥣᥢᥱ - Hainan (海南) *ᥓᥥ ᥟᥪᥒᥱ ᥑᥫᥱ ᥙᥫᥭᥲ - Hebei (河北) *ᥓᥥ ᥟᥪᥒᥱ ᥞᥫᥭᥰ ᥘᥨᥒᥴ ᥓᥦᥒ - Heilongjiang (黑龍江) *ᥓᥥ ᥟᥪᥒᥱ ᥑᥫᥴ ᥢᥣᥢᥴ - Henan (河南) *ᥓᥥ ᥟᥪᥒᥱ ᥑᥧ ᥙᥥᥲ - Hubei (湖北) *ᥓᥥ ᥟᥪᥒᥱ ᥑᥧᥴ ᥢᥣᥢᥴ - Hunan (湖南) *ᥓᥥ ᥟᥪᥒᥱ ᥓᥦᥒ ᥔᥧ - Jiangsu (江蘇) *ᥓᥥ ᥟᥪᥒᥱ ᥓᥦᥒ ᥡᥤ - Jiangxi (江西) *ᥓᥥ ᥟᥪᥒᥱ ᥓᥤ ᥘᥤᥢᥴ - Jilin (吉林) *ᥓᥥ ᥟᥪᥒᥱ ᥘᥦᥝᥴ ᥢᥤᥒᥴ - Liaoning (遼寧) *ᥓᥥ ᥟᥪᥒᥱ ᥡᥤᥒ ᥞᥣᥭᥴ - Qinghai (青海) *ᥓᥥ ᥟᥪᥒᥱ ᥡᥣᥢ ᥡᥤ - Shaanxi (陝西) (ᥜᥣᥒᥳ ᥘᥣᥭᥰ ᥟᥩᥐᥱ ᥔᥥᥒᥴ) *ᥓᥥ ᥟᥪᥒᥱ ᥡᥣᥢ ᥖᥨᥒ - Shandong (山東) *ᥓᥥ ᥟᥪᥒᥱ ᥔᥣᥢ ᥡᥤᥰ - Shanxi (山西) (ᥜᥣᥒᥳ ᥘᥣᥭᥰ ᥟᥩᥐᥱ ᥔᥥᥒᥴ။) *ᥓᥥ ᥟᥪᥒᥱ ᥔᥪᥲ ᥡᥩᥢ - Sichuan (四川) *ᥓᥥ ᥟᥪᥒᥱ ᥗᥭᥱ ᥝᥣᥢᥱ - Taiwan (臺灣) (ᥕᥧᥱ ᥖᥤ ᥛᥫᥒᥰ ᥑᥥᥱ ᥘᥨᥒᥴ ᥔᥥᥴ ᥚᥩᥒᥰ ᥒᥛᥰ) *ᥓᥥ ᥟᥪᥒᥱ ᥕᥤᥢᥳ ᥢᥣᥢᥳ - Yunnan (雲南) *ᥓᥥ ᥟᥪᥒᥱ ᥓᥫᥴ ᥓᥦᥒ - Zhejiang (浙江) [[ᥜᥣᥭᥱ:China_administrative.png|450px|center| ᥓᥥ ᥟᥪᥒᥱ ᥑᥩᥒᥴ ᥓᥪᥒ ᥛᥫᥒᥰ ᥓᥩᥛ ᥓᥪᥒ ᥐᥨᥢᥰ ᥛᥫᥒᥰ ᥙᥣᥢᥱ ᥙᥩᥒ ᥛᥫᥒᥰ ᥑᥥᥱ]] ==ᥙᥫᥒ ᥟᥤᥒ== {{Reflist|group=lower-alpha}} [[ᥙᥫᥒ ᥗᥣᥢ:Category]] oub0k6omk7diotolrwfjmgm8by7mmqp